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Оценивание студенческих работ в рамках обучения академическому письму на английском языке в контексте развития инструментов искусственного интеллекта
The paper focuses on assessing students’ written papers in the discipline “Academic Writing in English in the context of AI tools’ capabilities. AI tools, specifically large language models (LLMs) appear to be able to tackle and solve a wide range of educational and research tasks. Foreign language teaching is no exception: AI tools are utilized in developing students’ foreign language communicative competence including academic writing. The key opportunity and challenge is that AI can generate academic texts of relatively high quality. The gravity of the challenge was confirmed by the presenter via an experiment he conducted at the School of Foreign Languages of HSE University: a significant number of the so-called Project Proposals, i.e. article-format presentations of senior theses generated by the three AI LLMs ChatGPT, Midjourney, and Perplexity gained good grades based on the assessment criteria. Several Project Proposals were even graded as excellent. To avoid the loss of value of the academic effort made by students and faculty, measures need to be taken involving revision and redesigning of assessment criteria along with teaching students and faculty members how to preserve academic integrity and skillfully use AI tools. This can be achieved by organizing regular tutorials and seminars, and offering additional education courses.